Applies To:Show Versions
BIG-IQ Centralized Management
BIG-IQ Application Service Sizing Guidelines
BIG-IQ application service sizing overview
BIG-IQ guidance configuration for scaled environments
- 2 BIG-IQ console machines configured in an HA pair; each having the following resources:
- a BIG-IQ Virtual Machine with at least 16 CPUs, 64 GB RAM, and 500 GB disk space.
- 5 or more (up to 20) BIG-IQ Data Collection Devices (DCD); each having the following resources:
- a BIG-IQ Virtual Machine with at least 8 CPUs, 32 GB RAM, and 500 GB disk space
Scale guidance configuration for BIG-IQ specific objects
Total number of BIG-IP ISO images (full releases and hot fixes)
Limited by local storage availability (disk space/Shared partition size) only
Total maximum number of local BIG-IQ users (see table note 1)
100 per Centralized Management cluster
Total maximum number of local BIG-IQ user groups
25 per Centralized Management cluster
Total maximum number of BIG-IQ DCDs
20 per BIG-IQ deployment
- Table note 1
- Local users are not the same as remote users. For example, a remote user might need to integrate with an LDAP and/or Radius server.
Scale guidance configuration for BIG-IQ managed
- Retaining more than the default 10 hours of raw data specific to analytics may impact performance. (Note that this is the granular drill line of 10 hours and not the overall graph availability. More resources (CPU/memory/disk space) are consumed when you retain more raw data. Any such increase needs to be done gradually. Please refer to theConfiguring Statistics Collectionlink at the bottom of this page.
- The number of data collection devices (DCDs) in a specific environment. (Maximum tested is 20).
- The amount of traffic coming from the BIG-IP devices to the DCDs.
- The storage size of each DCD.
- The type of events that are ingested (for example WAF events can have a higher impact than analytics).
No of Applications Tested
Tested Limits (representative configuration)
Operational (see table note 3)
Application Services (see table note 1)
1000 (see table note 2)
40 BIG-IP devices/clusters per BIG-IQ device (across all applications)
5,000 ADC virtual servers per BIG- IQ device (across all applications)
5,000 pool members per BIG- IQ device (across all applications) - this number was reduced due to the automated script limitation.
5,000 pool members per BIG-IQ device (across all applications)
25 applications per single BIG-IP
125 virtual servers per single BIG-IP
125 pools per single BIG-IP
125 pool members per single BIG-IP
5 virtual servers per single application
5 pools per single application
1 pool member per single application
Applications should be evenly spread on the number of BIG-IP devices/clusters
200 virtual servers in a single refresh operation
13.7 Kbps writes for traffic to ElasticSearch
100 application services created via API in a single call
75ms latency between any one managed device and BIG-IQ
75ms latency between any one managed device and DCD
- Table note 1
- Application Services can be new, created applications (greenfield) or legacy applications
- Table note 2
- Tested with 1000 application services for a specific analytics scenario (see the exact numbers in the columns above). The limits listed here reflect the tested system only. That system deployed one BIG-IQ device with 8 CPUs, 32GB RAM, and 500 GB of disk space. Statistics were gathered by Five BIG-IQ DCDs, each with 8 CPUs, 32GB RAM, and 500 GB of disk space.Production environments will likely require additional CPU, memory, and disk space resources (for example, 16 CPUs and 64 GB RAM). You will need to perform sizing tests that reflect your environment, amount of traffic, etcetera. There can be multiple limiting factors in a production environment, for example retaining more than the default (granular) 10 hours of raw data specific to analytics. See the list above for additional limiting factors.
- Table note 3
- Tested average performance numbers are for specific operations at the specified scale only.